PROFILING BREAST CANCER CELLS TO ELUCIDATE SOME EPIGENETIC FACTOR TO CONTROL THE DISEASE

Abstract

Background:Breast cancer (BC), the disease's incidenceis elevating global wide with major elevation in
riskyneoplasiain women with young ages. Among all cancers, women are facing, breast cancer is the most disease
that cause fear for women as it affects their self-esteem and confidence.
Aims: current study aimed at establishing a prediction model for breast cancer that is based on epigenetic and
genetics readings.
Material and methods:In this study, We used MCF-7 breast cancer cells were able to recognise the role of around
95 different types of microRNAs:The results of study are show that about 95 mi-RNAs- profiled, 6 mi-RNAs were
found to be up-regulated, and 26 mi-RNAs were found to be down-regulated. The prediction of disease has been
leading to recognising the special relation, the miRNAs which are up-regulated is with common illness including
cancer.
Conclusion: To reach early breast cancer diagnosis, the up-regulated miRNAs which were 6 can be used as a
biomarkers. Also, has-miR-23b-3p was overexpressed and is found in a high expression profile so it is considered a
potential biomarkers. Notwithstanding, more investigations and further studies are needed to support these
findings.